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. 2022 Jan 25;53(8):3345–3354. doi: 10.1017/S0033291721005377

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© The Author(s) 2022

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

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Fig. 3. — Correlations for between-person effects in bivariate models. Panel A shows bivariate correlations for between-person effects in the Insomnia-(Hypo)mania bivariate model (μ_M = individual mean levels of (hypo)manic symptoms, μ_I = individual mean levels of insomnia symptoms, log(π_M) = innovation in (hypo)manic symptoms, log(π_I) = innovation in insomnia symptoms, ϕ_MM = (hypo)mania inertia, ϕ_II = insomnia inertia, ϕ_MI = cross-lagged effect of (hypo)mania at time t regressed on insomnia at time t−1, ϕ_IM = cross-lagged effect of insomnia at time t regressed on (hypo)mania at time t−1). Panel B shows bivariate correlations for between-person effects in the Insomnia-Depression bivariate model (μ_D = individual mean levels of depression symptoms, μ_I = individual mean levels of insomnia symptoms, log(π_D) = innovation in depression symptoms, log(π_I) = innovation in insomnia symptoms, ϕ_DD = depression inertia, ϕ_II = insomnia inertia, ϕ_DI = cross-lagged effect of depression at time t regressed on insomnia at time t−1, ϕ_ID = cross-lagged effect of insomnia at time t regressed on depression at time t−1). N.B. The cross-lagged parameters (ϕ_ij) are not average individually standardised for between-person correlations.